15 citations · 52 across the 19 of their papers we have counts for
9 papers · 1 filter
CrowdRec: 3D Crowd Reconstruction from Single Color Images
Buzhen Huang, Jingyi Ju, Yangang Wang
This is a technical report for the GigaCrowd challenge. Reconstructing 3D crowds from monocular images is a challenging problem due to mutual occlusions, server depth ambiguity, an…
Reconstructing Groups of People with Hypergraph Relational Reasoning
Buzhen Huang, Jingyi Ju, Zhihao Li +1
Due to the mutual occlusion, severe scale variation, and complex spatial distribution, the current multi-person mesh recovery methods cannot produce accurate absolute body poses an…
Nonrigid Object Contact Estimation With Regional Unwrapping Transformer
Wei Xie, Zimeng Zhao, Shiying Li +2
Acquiring contact patterns between hands and nonrigid objects is a common concern in the vision and robotics community. However, existing learning-based methods focus more on conta…
4D Myocardium Reconstruction with Decoupled Motion and Shape Model
Xiaohan Yuan, Cong Liu, Yangang Wang
Estimating the shape and motion state of the myocardium is essential in diagnosing cardiovascular diseases.However, cine magnetic resonance (CMR) imaging is dominated by 2D slices,…
Reconstructing Interacting Hands with Interaction Prior from Monocular Images
Binghui Zuo, Zimeng Zhao, Wenqian Sun +3
Reconstructing interacting hands from monocular images is indispensable in AR/VR applications. Most existing solutions rely on the accurate localization of each skeleton joint. How…
Physics-Guided Human Motion Capture with Pose Probability Modeling
Jingyi Ju, Buzhen Huang, Chen Zhu +2
Incorporating physics in human motion capture to avoid artifacts like floating, foot sliding, and ground penetration is a promising direction. Existing solutions always adopt kinem…
Synthesizing Physically Plausible Human Motions in 3D Scenes
Liang Pan, Jingbo Wang, Buzhen Huang +4
We present a physics-based character control framework for synthesizing human-scene interactions. Recent advances adopt physics simulation to mitigate artifacts produced by data-dr…
Semi-supervised Hand Appearance Recovery via Structure Disentanglement and Dual Adversarial Discrimination
Zimeng Zhao, Binghui Zuo, Zhiyu Long +1
Enormous hand images with reliable annotations are collected through marker-based MoCap. Unfortunately, degradations caused by markers limit their application in hand appearance re…
HMDO: Markerless Multi-view Hand Manipulation Capture with Deformable Objects
Wei Xie, Zhipeng Yu, Zimeng Zhao +2
We construct the first markerless deformable interaction dataset recording interactive motions of the hands and deformable objects, called HMDO (Hand Manipulation with Deformable O…